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Multi-Omic Data Integration Allows Baseline Immune Signatures to Predict Hepatitis B Vaccine Response in a Small Cohort

Overview of attention for article published in Frontiers in immunology, November 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
14 X users

Citations

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22 Dimensions

Readers on

mendeley
67 Mendeley
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Title
Multi-Omic Data Integration Allows Baseline Immune Signatures to Predict Hepatitis B Vaccine Response in a Small Cohort
Published in
Frontiers in immunology, November 2020
DOI 10.3389/fimmu.2020.578801
Pubmed ID
Authors

Casey P. Shannon, Travis M. Blimkie, Rym Ben-Othman, Nicole Gladish, Nelly Amenyogbe, Sibyl Drissler, Rachel D. Edgar, Queenie Chan, Mel Krajden, Leonard J. Foster, Michael S. Kobor, William W. Mohn, Ryan R. Brinkman, Kim-Anh Le Cao, Richard H. Scheuermann, Scott J. Tebbutt, Robert E.W. Hancock, Wayne C. Koff, Tobias R. Kollmann, Manish Sadarangani, Amy Huei-Yi Lee

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 18%
Student > Bachelor 8 12%
Student > Ph. D. Student 6 9%
Other 4 6%
Student > Master 4 6%
Other 7 10%
Unknown 26 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 16%
Medicine and Dentistry 9 13%
Agricultural and Biological Sciences 5 7%
Immunology and Microbiology 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 6 9%
Unknown 29 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 April 2024.
All research outputs
#4,272,109
of 25,732,188 outputs
Outputs from Frontiers in immunology
#4,642
of 32,274 outputs
Outputs of similar age
#107,505
of 527,985 outputs
Outputs of similar age from Frontiers in immunology
#133
of 703 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,274 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 527,985 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 703 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.